NDLI: Frequency-domain analysis of discrete wavelet transform coefficients and their adaptive shrinkage for anti-aliasing

Content Provider	IEEE Xplore Digital Library
Author	Eunjung Chae Eunsung Lee Wonseok Kang Younghoon Lim Junghoon Jung Taechan Kim Katsaggelos, A.K. Paik, J.
Copyright Year	2013
Description	Author affiliation: Grad. Sch. of Adv. Imaging Sci., Multimedia & Film, Chung-Ang Univ., Seoul, South Korea (Eunjung Chae; Eunsung Lee; Wonseok Kang; Younghoon Lim; Paik, J.) \|\| Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA (Katsaggelos, A.K.) \|\| Syst. LSI, Samsung Electron. Co., Ltd., Suwon, South Korea (Junghoon Jung; Taechan Kim)
Abstract	We present an antialiasing method using combined wavelet-Fourier transform and spatially adaptive shrinkage of the transform coefficients. Traditional antialiasing methods employ a simple low-pass filter onto the entire image, so the resulting image loses not only aliasing artifacts but also high-frequency components such as edges and ridges. The proposed algorithm analyzes the property of the LL subband of the discrete wavelet transform (DWT), and reduces aliasing artifacts using patch-adaptive shrinkage of the DWT coefficients. More specifically, an antialiased LL subband is obtained using adaptive patch-based aliasing reduction. To detect an aliased region, we subtract the discrete Fourier transform (DFT) coefficients of the LL subband from the DFT coefficients of antialiased LL subband. The detected aliasing artifacts in the LH, HL, and HH subbands are reduced by patch-wise adaptive shrinkage of the transform coefficients. The resulting antialiased image is obtained using the inverse DWT. The aliasing artifacts can be efficiently reduced by adaptively shrinking wavelet transform coefficients for preserving high-frequency image details. The proposed antialiasing algorithm is suitable for removing aliasing artifacts which frequently occur in imaging sensors with limited resolution.
Starting Page	1071
Ending Page	1074
File Size	664715
Page Count	4
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discrete wavelet transforms Wavelet analysis Gallium nitride Discrete Fourier transforms Imaging patch-adaptive shrinkage Anti-aliasing wavelet-Fourier transform image enhancement
Content Type	Text
Resource Type	Article

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